John Slankas

427 total citations
15 papers, 294 citations indexed

About

John Slankas is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, John Slankas has authored 15 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 7 papers in Artificial Intelligence and 5 papers in Sociology and Political Science. Recurrent topics in John Slankas's work include Software Engineering Research (9 papers), Web Application Security Vulnerabilities (6 papers) and Access Control and Trust (5 papers). John Slankas is often cited by papers focused on Software Engineering Research (9 papers), Web Application Security Vulnerabilities (6 papers) and Access Control and Trust (5 papers). John Slankas collaborates with scholars based in United States, Australia and Italy. John Slankas's co-authors include Laurie Williams, Laurie Williams, Xusheng Xiao, Tao Xie, Emerson Murphy-Hill, Titus Barik, Justin Smith, Munindar P. Singh, Jonathan D. Stallings and Fabio Massacci and has published in prestigious journals such as Journal of the Association for Information Systems, Empirical Software Engineering and 2013 35th International Conference on Software Engineering (ICSE).

In The Last Decade

John Slankas

15 papers receiving 282 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Slankas United States 9 226 98 81 47 38 15 294
Tam The Nguyen United States 9 253 1.1× 74 0.8× 59 0.7× 57 1.2× 50 1.3× 17 317
Jean‐Rémy Falleri France 8 199 0.9× 99 1.0× 95 1.2× 62 1.3× 8 0.2× 37 248
Mitra Bokaei Hosseini United States 7 174 0.8× 87 0.9× 21 0.3× 27 0.6× 126 3.3× 14 271
Jiamou Sun Australia 8 196 0.9× 90 0.9× 46 0.6× 61 1.3× 11 0.3× 18 242
Mohammad Masudur Rahman Canada 12 344 1.5× 120 1.2× 134 1.7× 76 1.6× 10 0.3× 32 393
Muhammad Ilyas Azeem Pakistan 7 216 1.0× 44 0.4× 142 1.8× 47 1.0× 16 0.4× 9 287
Serena Elisa Ponta Italy 8 193 0.9× 60 0.6× 77 1.0× 68 1.4× 30 0.8× 17 249
Adam Czauderna United States 8 309 1.4× 98 1.0× 147 1.8× 62 1.3× 6 0.2× 10 324
Emad Aghajani Switzerland 7 183 0.8× 89 0.9× 67 0.8× 62 1.3× 12 0.3× 13 234
Stefan Frei Switzerland 8 217 1.0× 40 0.4× 63 0.8× 132 2.8× 19 0.5× 8 283

Countries citing papers authored by John Slankas

Since Specialization
Citations

This map shows the geographic impact of John Slankas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Slankas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Slankas more than expected).

Fields of papers citing papers by John Slankas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Slankas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Slankas. The network helps show where John Slankas may publish in the future.

Co-authorship network of co-authors of John Slankas

This figure shows the co-authorship network connecting the top 25 collaborators of John Slankas. A scholar is included among the top collaborators of John Slankas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Slankas. John Slankas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Harenberg, Steve, et al.. (2017). Learning Contextual Embeddings for Knowledge Graph Completion. Journal of the Association for Information Systems. 248. 5 indexed citations
2.
Slankas, John, et al.. (2016). Identifying the implied: Findings from three differentiated replications on the use of security requirements templates. Empirical Software Engineering. 22(4). 2127–2178. 15 indexed citations
3.
Stallings, Jonathan D., et al.. (2016). DIGS. 1–10. 13 indexed citations
4.
Barik, Titus, et al.. (2015). Fuse: A Reproducible, Extendable, Internet-Scale Corpus of Spreadsheets. 486–489. 25 indexed citations
5.
Slankas, John, Xusheng Xiao, Laurie Williams, & Tao Xie. (2014). Relation extraction for inferring access control rules from natural language artifacts. 366–375. 34 indexed citations
6.
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8.
Slankas, John. (2013). Implementing database access control policy from unconstrained natural language text. International Conference on Software Engineering. 1357–1360. 1 indexed citations
9.
Slankas, John & Laurie Williams. (2013). Access Control Policy Extraction from Unconstrained Natural Language Text. 435–440. 17 indexed citations
10.
Slankas, John, et al.. (2013). Discovering Security Requirements from Natural Language Project Artifacts. NCSU Libraries Repository (North Carolina State University Libraries). 1 indexed citations
11.
Slankas, John & Laurie Williams. (2013). Automated extraction of non-functional requirements in available documentation. 9–16. 92 indexed citations
12.
Slankas, John. (2013). Implementing database access control policy from unconstrained natural language text. 2013 35th International Conference on Software Engineering (ICSE). 51. 1357–1360. 1 indexed citations
13.
Binkley, David, Dawn Lawrie, Emily Hill, et al.. (2013). Task-Driven Software Summarization. 15. 432–435. 9 indexed citations
14.
Slankas, John & Laurie Williams. (2012). Extracting database role based access control from unconstrained natural language text. NCSU Libraries Repository (North Carolina State University Libraries). 2 indexed citations
15.
Slankas, John & Laurie Williams. (2012). Classifying Natural Language Sentences for Policy. 33–36. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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